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Your Personal Finance Manager for Canadians — an AI financial planning partner that conducts thorough financial interviews, builds complete plans, generates interactive dashboards, and provides ongoing coaching. Use this skill whenever someone asks about budgeting, saving, investing, debt strategy, retirement planning, tax optimization, government benefits, insurance, RRSPs, TFSAs, RESPs, CPP, OAS, or any aspect of personal finance in a Canadian context. Also triggers for "should I buy this?", "can I afford this?", financial check-ins, plan updates, life change impacts on finances, or any request to build or review a financial plan. Even if the user just says "help me with my money" or "I need a budget", this skill should activate. Canada-focused.

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Use whenever the user wants to find, shortlist, vet, or enrich US public-relations and communications agencies — media relations, crisis comms, investor relations (IR), product-launch PR, tech/startup PR, healthcare PR, B2B PR, public affairs, brand reputation, and internal communications. Triggers on "find me a tech PR agency in NY", "shortlist three IR firms for our IPO", "we need crisis comms help for a brand reputation issue", or "pull contact info for these 10 PR firm domains", even when described indirectly (we need press, get us into TechCrunch, manage our brand reputation). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-marketing-agency when scope is broader marketing beyond PR/comms. Skip in-house PR/comms hires, "write me a press release" DIY asks, PR-software comparisons (Cision, Muck Rack), influencer-marketplace questions, non-US firms, individual freelance PR people.

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Debug Streamlit frontend and backend changes using make debug with hot-reload. Use when testing code changes, investigating bugs, checking UI behavior, or needing screenshots of the running app.

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Research an issue deeply and present all context to the user. but the user writes the code. The LLM investigates code paths, finds relevant files, explains patterns, and identifies constraints. The user thinks through the approach and implements it. Use when ready to start working on an issue after oss-prep-to-contribute. Not for writing tests or documentation as a standalone contribution. Use oss-write-tests or oss-write-docs for those.

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Evaluate whether an OSS repo is worth long-term investment before committing time. Assesses project health, governance, community, bus factor, and trajectory. Use when deciding whether to contribute to a specific repo, choosing between multiple repos, or evaluating a project's sustainability. Not for checking if a repo accepts contributions — use oss-find-issue for that.

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Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Launches up to 10 parallel research agents for fast results. USE WHEN user says 'do research', 'research X', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.

日本語の概要は準備中です。原文の説明を表示しています。

当用户在评估一只股票"便不便宜"、纠结该不该基于PE/PB做买卖决策、 或试图用DCF公式精算企业价值时，激活此skill。 核心判断信号：用户提到"估值""PE多少倍""DCF模型""算一算值多少钱"， 或在纠结"这个价格能不能买"。 此skill将估值从数学计算还原为商业判断——用"未来现金流折现"作为思维 方式而非公式，通过"毛估估"判断是否明显便宜，以"封仓十年"的视角检验 理解深度，用E/E替代PE以纳入负债影响。 不适用于：需要精确估值建模的场景（如并购定价）、短期交易择时、 无法产生现金流的资产（如加密货币）。

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当用户在投资（或重大决策）场景中，对某个标的/方向产生兴趣但说不清"我到底懂不懂它"，或列举了一堆正面理由却无法回答"未来5-10年它会怎样"时，激活此 skill。关键触发信号：用户用行业经验替代商业判断、用研究时长衡量理解深度、或以"看起来便宜"作为买入理由。不适用于：纯信息查询、已有明确投资框架的用户寻求优化、日常小额消费决策。核心区别：能力圈≠熟悉的行业，而是"能判断未来现金流折现的范围"；安全边际=理解度而非价格折扣。

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当用户需要判断一家公司是否具备持久的竞争优势时激活此skill。典型触发：用户在分析某只股票/公司时问"这门生意好不好""护城河够不够深""这个商业模式能不能持续赚钱"；或用户试图从PE/财务指标出发评价一家公司却理不出头绪。 不适用于：纯财务建模（DCF计算）、已明确在能力圈外的公司（应先回能力圈框架）、短期交易择时决策。 关键语言信号："这个生意模式怎么样""为什么这家公司能一直赚钱""竞争对手能不能抢走它的市场"。

日本語の概要は準備中です。原文の説明を表示しています。

触发：用户因股价涨跌纠结买卖、用PE/K线做判断、问"该止盈/止损吗"时。 语言信号："还能涨吗""要不要止盈""被套了怎么办""这股票便宜"。 核心转换：把上市公司抽象为"只有一个股东的非上市公司"，股价波动=别人出价，非公司价值变化。 不适用于：纯信息查询、资产配置讨论、短线策略、明确投机且不愿转变视角。 区分：DCF解决"值多少钱"，本skill解决"用什么身份思考"；opportunity-cost解决"买或卖"，本skill解决"你是谁"。

日本語の概要は準備中です。原文の説明を表示しています。

当投资者因股价涨跌产生焦虑、恐惧或贪婪情绪，需要回归理性决策时激活。 典型触发：股价暴跌时恐慌想卖、暴涨时焦虑要不要止盈、与他人比较收益而心态失衡、因用了非闲钱而睡不着觉。 语言信号："我该不该止盈""跌了这么多我好慌""别人赚了那么多我没赚到""心跳跟着股价走"。 不适用于：纯信息查询（问某公司财报数据）、明确的买入/卖出决策逻辑（那是能力圈或机会成本skill）、短期交易策略咨询。 与相邻skill区分：能力圈skill解决"懂不懂"的认知问题，本skill解决"懂了但情绪仍然失控"的情绪-认知断裂问题；Stop Doing List是事前纪律防线，本skill是事中情绪恢复机制。

日本語の概要は準備中です。原文の説明を表示しています。

用户在投资或重大决策中面临诱惑性选择时激活：想做空被高估的股票、想加杠杆抄底、想投资"研究过但不确定是否真懂"的标的、频繁交易、试图通过看K线择时。 不适用于：纯信息查询（"某公司PE多少"）、已确定不碰的日常小事、需要正面分析方法的场景（如"怎么分析护城河"）。 关键触发信号："我觉得可以试试做空""这次例外应该没问题""我已经研究了一段时间应该算懂了""短期做个波段"。 本skill通过排除法（Stop Doing List）帮助用户识别并停止做错的事情，核心原则：发现错了立刻停止，不管多大代价都是最小代价。

日本語の概要は準備中です。原文の説明を表示しています。

当用户纠结"要不要卖/换/止盈/止损"时激活。核心信号：用户用买入成本、浮盈浮亏、持仓时间作为卖出理由，或问"已经赚了X%该不该走"。也适用于纠结"持有A还是换B"的资产配置场景。不适用于：纯估值计算（交给 dcf-valuation）、判断公司好坏（交给 good-business）、情绪安抚（交给 equanimity-mindset）。本 skill 只解决一个问题——用机会成本统一买卖逻辑，消除"成本锚定"和"止盈止损"的伪决策。

日本語の概要は準備中です。原文の説明を表示しています。

把功能需求拆解为用户故事和可测试的验收标准时使用。适用于 PRD 第 7 节、Sprint 准备、给 QA 的测试输入。优先使用 INVEST 检查 + Given/When/Then 格式。

日本語の概要は準備中です。原文の説明を表示しています。

Use to run a dynamic, goal-driven workflow — orchestrate a multi-step goal by composing skills, tools, and MCPs, with a quality gate and verification at each step. Trigger on "/workflow", "run the <name> workflow", "orchestrate X", or a multi-step recurring goal ("draft the investor update", "give me my morning brief"). Follows references/sops/dynamic-workflows.md and the wf-*.md cards. Respects the autonomy/cadence gate (auto on reversible/internal, draft-then-approve on external/regulated).

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Personal finance assistant for budgeting, savings goals, investment tracking, debt optimization, tax preparation, insurance review, net worth tracking, and financial scenario modeling. Supports multi-currency, bank statement import (CSV/MT940/OFX), and locale-based tax rules. Use for any personal finance question: budget planning, expense tracking, portfolio allocation, FIRE calculations, debt payoff strategies, mortgage comparisons, tax deductions, insurance coverage, retirement planning, and life events with financial impact such as marriage, buying a house, changing jobs, having a baby, or going freelance.

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Operate and diagnose a Gajaeway host safely before service control, channel-config changes, or lost-reply investigation.

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Maps a startup's competitive landscape, scores moat strength across 6+ dimensions, and writes an investor-ready competition narrative with a positioning map. Use when the user asks for a competitive landscape, moat analysis, or positioning review and gives enough to work from: a deck, a list of competitors, or a clearly named startup. A full run takes about 30–40 minutes and searches the web, so for a passing question such as 'who are my competitors?' or 'is that a real moat?', answer briefly in chat and offer the analysis instead of starting it. When it runs, the competitor set and moat scores are checked adversarially, never recalled from memory.

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Simulates a realistic VC Investment Committee: three partner archetypes debate a startup's merits, concerns, and deal terms, scored across 28 dimensions. Use when the user asks to simulate an IC, or how partners would debate their startup, and gives a deck, a company description, or a specific fund. A full run takes about 15–20 minutes, so for a passing question such as 'would a VC fund us?' or 'are we fundable?', answer briefly in chat and offer the simulation instead of starting it. When it runs, partners' views come from the scored simulation, never improvised.

日本語の概要は準備中です。原文の説明を表示しています。

Reviews startup financial models for investor readiness: validates unit economics, stress-tests runway scenarios, and benchmarks metrics against stage-appropriate targets. Use the full review, about 10–15 minutes, when the user provides a financial model (Excel, CSV, or a model pasted as text) and asks for review, validation, runway analysis, or unit-economics scoring. For a single money question with figures to compute, such as 'how long do I have?' or 'is a 4x burn multiple bad?', use its shorter quick check, so the answer comes from the calculator and dated benchmarks, not mental arithmetic.

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Synthesizes exploration findings into unified analysis with deep investigation capabilities (shell commands, git history, dependency analysis) and completeness evaluation (converted from agent)

日本語の概要は準備中です。原文の説明を表示しています。

Synthesizes exploration findings into unified analysis with deep investigation capabilities and completeness evaluation (converted from agent)

日本語の概要は準備中です。原文の説明を表示しています。

Deep exploration and synthesis workflow using agent teams with dynamic planning and hub-and-spoke coordination. Use when asked for "deep analysis", "deep understanding", "analyze codebase", "explore and analyze", or "investigate codebase".

日本語の概要は準備中です。原文の説明を表示しています。

Deep exploration and synthesis workflow with dynamic planning and hub-and-spoke coordination. Use for deep analysis, codebase understanding, or thorough investigation of a focus area.

日本語の概要は準備中です。原文の説明を表示しています。